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Data Database NoSQL 
Data Engineering Podcast
APRIL 14, 2024
Summary Databases come in a variety of formats for different use cases. The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. Datafold has recently launched data replication testing, providing ongoing validation for source-to-target replication.
KDnuggets
SEPTEMBER 8, 2023
Understand the relevance of databases in data science. Also learn the fundamentals of relational databases, NoSQL database categories, and more.
146 
Analytics Vidhya
MARCH 7, 2023
Introduction Apache Cassandra is a NoSQL database management system that is open-source and distributed. It is meant to handle massive volumes of data across many commodity servers while maintaining high availability with no single point of failure.
252 
Analytics Vidhya
MARCH 1, 2023
Introduction Cassandra is an Apache-developed free and open-source distributed NoSQL database management system. It manages huge volumes of data across many commodity servers, ensures fault tolerance with the swift transfer of data, and provides high availability with no single point of failure.
223 
Analytics Vidhya
FEBRUARY 22, 2023
Introduction Data replication is also known as database replication, which is copying data to ensure that all information remains consistent across all data resources in real-time. data replication is like a safety net that keeps your information safe from disappearing or falling through the cracks.
269 
KDnuggets
FEBRUARY 15, 2022
From Oracle, to NoSQL databases, and beyond, read about data management solutions from the early days of the RBDMS to those supporting AI applications.
108 
Data Engineering Podcast
MARCH 11, 2018
Summary As software lifecycles move faster, the database needs to be able to keep up. Practices such as version controlled migration scripts and iterative schema evolution provide the necessary mechanisms to ensure that your data layer is as agile as your application. You first co-authored Refactoring Databases in 2006.
100 
Cloudera
NOVEMBER 23, 2021
What is Cloudera Operational Database (COD)? Operational Database is a relational and non-relational database built on Apache HBase and is designed to support OLTP applications, which use big data. The operational database in Cloudera Data Platform has the following components: .
96 
Data Engineering Podcast
JANUARY 21, 2024
Summary Databases and analytics architectures have gone through several generational shifts. A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization. Data projects are notoriously complex. Want to see Starburst in action?
147 
Data Engineering Podcast
APRIL 22, 2019
Summary One of the biggest challenges for any business trying to grow and reach customers globally is how to scale their data storage. FaunaDB is a cloud native database built by the engineers behind Twitter’s infrastructure and designed to serve the needs of modern systems.
100 
Pinterest Engineering
JANUARY 4, 2024
While KVStore was the client facing abstraction, we also built a storage service called Rockstorewidecolumn : a wide column, schemaless NoSQL database built using RocksDB. Additionally, the last section explains how this new database supports a key platform in the product. Individual rows constitute a dataset.
94 
Rockset
JULY 22, 2022
Last week, Rockset hosted a conversation with a few seasoned data architects and data practitioners steeped in NoSQL databases to talk about the current state of NoSQL in 2022 and how data teams should think about it. NoSQL is great for well understood access patterns. Much was discussed.
52 
Knowledge Hut
MARCH 15, 2024
Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. RDBMS uses SQL to organize data into structured tables, whereas NoSQL is more flexible and can handle a wider range of data types because of its dynamic schemas.
52 
ProjectPro
SEPTEMBER 16, 2021
NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies.
52 
Hevo
MAY 24, 2023
Data drives the business world, and a significant amount of that data is unstructured. This implies that traditional relational databases can not cater to the needs of organizations seeking to store and manipulate this unstructured data. NoSQL Databases […]
52 
Data Engineering Podcast
AUGUST 19, 2018
Summary The way that you store your data can have a huge impact on the ways that it can be practically used. In addition he talks about the challenges of building a distributed, consistent database and the tradeoffs that were made to make DGraph a reality. However, it can be tough learning it when you’re just starting out.
100 
Jesse Anderson
SEPTEMBER 14, 2023
There has been quite a bit of writing covering GPT and LLMs from data science and business perspectives. I haven’t seen much from the data engineering side. Let me share my perspective, having been in data and AI for a while and using LLMs before they became popular. How can we use LLMs in data engineering? Be careful.
147 
Cloudera
NOVEMBER 30, 2022
What is CDP Operational Database (COD). CDP Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution. It helps developers automate and simplify database management with capabilities like auto-scale, and is fully integrated with Cloudera Data Platform (CDP).
88 
Netflix Tech
DECEMBER 14, 2018
In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve.
97 
Knowledge Hut
APRIL 25, 2024
Big data in information technology is used to improve operations, provide better customer service, develop customized marketing campaigns, and take other actions to increase revenue and profits. It is especially true in the world of big data. It is especially true in the world of big data. What Are Big Data T echnologies?
98 
Christophe Blefari
OCTOBER 20, 2023
Read my dbt multi-project guide 📺 On the content side I'll also present next week the Fancy Data Stack project at the Data Engineering And Machine Learning Summit 2023 organised by Seattle Data Guy. a lea prepare command that creates database objects that needs to be created (dataset, schema, etc.).
130 
Cloudera
SEPTEMBER 1, 2022
Apache HBase has long been the database of choice for business-critical applications across industries. This is primarily because HBase provides unmatched scale, performance, and fault-tolerance that few other databases can come close to. Think petabytes of data spread across trillions of rows, ready for consumption in real-time.
90 
Grouparoo
DECEMBER 26, 2021
For data storage, the database is one of the fundamental building blocks. There are many kinds of databases available, each with its strengths and weaknesses. In this article, we’ll look at what are the different types of databases and which is the most common. What are the Different Types of Database Architectures?
52 
Cloudera
FEBRUARY 26, 2021
Cloudera Operational Database is an operational database-as-a-service that brings ease of use and flexibility to Apache HBase. Cloudera Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution. Step 2: Create a database. Run your application.
61 
Data Engineering Podcast
JANUARY 7, 2018
Summary PostGreSQL has become one of the most popular and widely used databases, and for good reason. At Citus Data they have built an extension to support running it in a distributed fashion across large volumes of data with parallelized queries for improved performance.
100 
Rockset
JULY 6, 2022
This is the fifth post in a series by Rockset's CTO and Co-founder Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. Similarly, databases are only useful for today’s real-time analytics if they can be both strict and flexible. Traditionally, schemas are strictly enforced.
52 
Data Engineering Podcast
FEBRUARY 11, 2018
Summary As communications between machines become more commonplace the need to store the generated data in a time-oriented manner increases. The market for timeseries data stores has many contenders, but they are not all built to solve the same problems or to scale in the same manner.
100 
Data Engineering Podcast
AUGUST 3, 2020
Summary Finding connections between data and the entities that they represent is a complex problem. Graph data models and the applications built on top of them are perfect for representing relationships and finding emergent structures in your information. If you hand a book to a new data engineer, what wisdom would you add to it?
100 
Data Engineering Podcast
FEBRUARY 9, 2020
Summary Designing the structure for your data warehouse is a complex and challenging process. As businesses deal with a growing number of sources and types of information that they need to integrate, they need a data modeling strategy that provides them with flexibility and speed.
100 
Cloudera
OCTOBER 6, 2020
The Cloudera Operational Database (COD) is a managed dbPaaS solution available as an experience in Cloudera Data Platform (CDP). It offers multi-modal client access with NoSQL key-value using Apache HBase APIs and relational SQL with JDBC (via Apache Phoenix). All code is in my github repo.
81 
Knowledge Hut
JULY 24, 2023
In this digital age, data is king, and how we manage, analyze, and harness its power is constantly evolving. Database management, once confined to IT departments, has become a strategic cornerstone for businesses across industries. In this blog, we will talk about the future of database management.
52 
Knowledge Hut
MARCH 27, 2024
Think of a database as a smart, organized library that stores and manages information efficiently. On the other hand, data structures are like the tools that help organize and arrange data within a computer program. What is a Database? SQL, or structured query language, is widely used for writing and querying data.
52 
Precisely
DECEMBER 28, 2023
The concept of streaming data was born of necessity. But insights derived from day-old data don’t cut it. Business success is based on how we use continuously changing data. That’s where streaming data pipelines come into play. What is a streaming data pipeline? How do streaming data pipelines work?
Netflix Tech
MARCH 7, 2023
These media focused machine learning algorithms as well as other teams generate a lot of data from the media files, which we described in our previous blog , are stored as annotations in Marken. There are many naive solutions possible for this problem for example: Write different runs in different databases. in a video file.
110 
Knowledge Hut
DECEMBER 26, 2023
According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.
97 
Data Engineering Podcast
JUNE 10, 2018
Summary With the increased ease of gaining access to servers in data centers across the world has come the need for supporting globally distributed data storage. With the first wave of cloud era databases the ability to replicate information geographically came at the expense of transactions and familiar query languages.
100 
Knowledge Hut
JULY 26, 2023
Database applications have become vital in current business environments because they enable effective data management, integration, privacy, collaboration, analysis, and reporting. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.
52 
Pinterest Engineering
MAY 13, 2024
The subsequent blog post will delve into how we looked into our specific needs, evaluated multiple candidates and decided on the adoption of a new database technology. Overview of HBase at Pinterest Introduced in 2013, HBase was Pinterest’s first NoSQL datastore.
87 
Rockset
JANUARY 5, 2022
Rockset is the real-time analytics database in the cloud for modern data teams. Get faster analytics on fresher data, at lower costs, by exploiting indexing over brute-force scanning. In many tech circles, SQL databases remain synonymous with old-school on-premises databases like Oracle or DB2. of developers.
52 
Rockset
JULY 21, 2022
Jeremy Evans, Co-founder and CTO, Savvy At Savvy , we have a lot of responsibility when it comes to data. However, delivering rich and timely insights was a challenge for us from the start, as our original platform was great at ingesting data, but not so great at analyzing and reporting. Rockset was incredibly easy to get started.
52 
AltexSoft
MAY 14, 2021
Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools.
78 
Knowledge Hut
DECEMBER 29, 2023
The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.
98 
Netflix Tech
SEPTEMBER 18, 2024
Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability. Over time as new key-value databases were introduced and service owners launched new use cases, we encountered numerous challenges with datastore misuse.
101 
Cloudera
OCTOBER 13, 2020
On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. CDP Machine Learning: a kubernetes-based service that allows data scientists to deploy collaborative workspaces with secure, self-service access to enterprise data. That Was Then.
103
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